Join a fast-growing clinical AI organization and own the end-to-end customer lifecycle as a Deployment Specialist. Serve as the key bridge between healthcare customers and the engineering team, ensuring smooth deployments that deliver measurable ROI and real-world impact. Manage the full customer journey from onboarding through ongoing success across multiple accounts.
Key Responsibilities:
- Own the full customer journey from post-sale onboarding through ongoing success, running high-touch sessions during the first 2-3 weeks and managing check-ins for 6-9 accounts
- Serve as the primary representative on client calls with 15+ stakeholders including clinicians and executives, navigating complex healthcare operations and building trusted relationships
- Manage integrations with client electronic medical records systems, deploy the platform, and train end users on effective product usage
- Translate customer needs and issues into clear, actionable requirements for the engineering team and follow up to ensure timely resolution
- Track and measure deployment ROI, identify expansion opportunities, and help build scalable processes for enterprise health systems
- Conduct solo meetings with client stakeholders and communicate requirements concisely to internal teams
3-5 years of post-grad work experience with at least 1 year in a customer-facing role such as implementation, deployment, project management, or solutions engineering
Startup or high-growth company experience, thriving in ambiguity, building processes, and moving fast
Technical aptitude, comfortable with software systems and communicating effectively with engineers
Concise, direct communicator able to run meetings with 15+ client stakeholders and translate needs into clear engineering requirements
Customer-obsessed, organized, execution-oriented, and able to handle complex operations quickly
Bachelor's degree required
Must be based in or willing to relocate to New York City for in-person work 5 days per week; U.S. work authorization required
Preferred:
SQL familiarity or basic data querying skills
Experience with AI/ML products, automation platforms, or data workflow tools in a deployment capacity
Forward-deployed engineer, implementation consultant, or product manager background
Passion for solving healthcare problems